PCA Index Interactive Visualization Examples¶
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import plotly.express as px
import config
import load_fred
import pca_index
DATA_DIR = config.DATA_DIR
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df = load_fred.load_fred(data_dir=DATA_DIR)
dfn = pca_index.transform_series(df)
C:\Users\Jeremy\GitRepositories\example-updating-dashboard\src\pca_index.py:31: FutureWarning: The default fill_method='pad' in Series.pct_change is deprecated and will be removed in a future version. Either fill in any non-leading NA values prior to calling pct_change or specify 'fill_method=None' to not fill NA values. C:\Users\Jeremy\GitRepositories\example-updating-dashboard\src\pca_index.py:32: FutureWarning: The default fill_method='pad' in Series.pct_change is deprecated and will be removed in a future version. Either fill in any non-leading NA values prior to calling pct_change or specify 'fill_method=None' to not fill NA values.
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## Visualize Principal Component 1
pc1, loadings = pca_index.pca(dfn, module="scikitlearn")
pc1.plot();
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# Simple version
fig = px.line(pc1)
fig.show()
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# Using slider and quick views
pca_index.pc1_line_plot(pc1)
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## Visualize normalized and raw series
dfn.plot(subplots=True, figsize=(10, 10));
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fig = px.line(dfn, facet_col="variable", facet_col_wrap=1)
fig.update_yaxes(matches=None)
fig.show()
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pca_index.plot_unnormalized_series(df)
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pca_index.plot_normalized_series(dfn)
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